trace

Orchestrate competing tracer hypotheses to explain observed Claude team-mode results.

Updated Apr 11, 2026
One-click install
npx skills add https://github.com/Pryma-Tech/iris --skill trace-pryma-tech
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: trace
Source: https://github.com/Pryma-Tech/iris/tree/main/cli/skills/trace
Command: npx skills add https://github.com/Pryma-Tech/iris --skill trace-pryma-tech

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Orchestrates competing tracer hypotheses to explain observed results in Claude built-in team mode, enabling structured reasoning and faster root-cause discovery.

Core Features & Use Cases

  • Restates the observation, generates diverse hypotheses, and gathers evidence in parallel.
  • Spawns 3 tracer lanes by default for robust comparison and prioritization.
  • Produces a ranked synthesis with a critical unknown and a discriminating probe to guide next steps.
  • Suitable for runtime bugs, performance issues, architecture decisions, and config/orchestration questions.

Quick Start

Describe the observed result and start a team-mode trace with three distinct hypotheses.

Frequently Asked Questions about trace

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How does evidence-driven tracing help debug runtime anomalies in Claude team mode?▼

Evidence-driven tracing in Claude team mode orchestrates competing hypotheses to explain observed runtime anomalies. It gathers evidence in parallel across multiple tracer lanes, ranks the hypotheses, and produces a structured synthesis to accelerate root-cause discovery.

What is the best way to trace performance issues using competing hypotheses?▼

Tracing performance issues with competing hypotheses involves spawning distinct tracer lanes to gather evidence simultaneously. The process ranks each hypothesis based on gathered evidence, applies rebuttal rounds, and outputs a final synthesis with a discriminating probe for next steps.

Can I use structured tracing for architecture decisions and configuration behaviors?▼

Structured tracing supports architecture decisions and configuration behaviors by restating the observation and generating diverse hypotheses. It evaluates evidence across three lanes and delivers a ranked synthesis with a critical unknown to guide decision making.

How do I start a team-mode trace for a runtime bug?▼

Start a team-mode trace for a runtime bug by describing the observed result. The tracer generates three distinct hypotheses by default, gathers evidence in parallel, and ranks them to produce a structured final synthesis suitable for decision making.

Why does generating multiple hypotheses improve root-cause discovery for bugs?▼

Generating multiple hypotheses improves root-cause discovery by comparing diverse explanations of observed bugs. The three-lane tracing approach gathers evidence in parallel, applies rebuttal rounds, and prioritizes hypotheses to reveal the most likely cause.

Does Claude team mode tracing work without external dependencies?▼

Claude team mode tracing operates without external dependencies. It leverages the built-in team mode to orchestrate tracer lanes, gather evidence, and generate a ranked synthesis with a discriminating probe entirely within the workflow.